Algorithm 1035: a gradient-based implementation of the polyhedral active set algorithm
From MaRDI portal
Publication:6601376
DOI10.1145/3583559MaRDI QIDQ6601376
William W. Hager, Hongchao Zhang
Publication date: 10 September 2024
Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)
nonlinear optimizationconjugate gradient methodgradient projection methodPASAactive set methodCG\(_-\)DESCENTNAPHEAPpolyhedral-constrained optimizationPPROJprojection on polyhedron
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- An active set algorithm for nonlinear optimization with polyhedral constraints
- Structured regularization for barrier NLP solvers
- Convergence properties of trust region methods for linear and convex constraints
- Dual techniques for constrained optimization
- An interior-point algorithm for nonconvex nonlinear programming
- Analysis and implementation of a dual algorithm for constrained optimization
- Novel approaches to hard discrete optimization
- CUTEst: a constrained and unconstrained testing environment with safe threads for mathematical optimization
- Application of the dual active set algorithm to quadratic network optimization
- Continuous nonlinear optimization for engineering applications in GAMS technology
- A sparse proximal implementation of the LP dual active set algorithm
- Dual multilevel optimization
- On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
- Minimization of functions having Lipschitz continuous first partial derivatives
- Multiple-rank modifications of a sparse Cholesky factorization
- Projection onto a polyhedron that exploits sparsity
- Recent Advances in Bound Constrained Optimization
- A New Active Set Algorithm for Box Constrained Optimization
- On Augmented Lagrangian Methods with General Lower-Level Constraints
- Algorithm 851
- Two-Point Step Size Gradient Methods
- Global Convergence of a Class of Trust Region Algorithms for Optimization with Simple Bounds
- On the Identification of Active Constraints
- Updating the Inverse of a Matrix
- A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints
- Large-scale linearly constrained optimization
- Modifying a Sparse Cholesky Factorization
- Exposing Constraints
- An Interior Point Algorithm for Large-Scale Nonlinear Programming
- A Nonmonotone Line Search Technique for Newton’s Method
- On the Global Convergence of a Filter--SQP Algorithm
- An Efficient Hybrid Algorithm for the Separable Convex Quadratic Knapsack Problem
- SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
- A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
- Row Modifications of a Sparse Cholesky Factorization
- The Limited Memory Conjugate Gradient Method
- Algorithm 813
- The cyclic Barzilai-–Borwein method for unconstrained optimization
- Practical Augmented Lagrangian Methods for Constrained Optimization
- A quadratically-convergent algorithm for general nonlinear programming problems
- Complexity and performance of an Augmented Lagrangian algorithm
- Nonlinear programming without a penalty function.
- The dual active set algorithm and its application to linear programming
This page was built for publication: Algorithm 1035: a gradient-based implementation of the polyhedral active set algorithm
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6601376)